Inspecting and Verifying Body Panel Stamping


In automotive stamping, large steel panels can leave the press with splits near die cuts, warped edges, or out‑of‑position features that hide across wide, reflective surfaces. Manual checks slow production and miss defects. Machine vision targets high‑risk zones or ride a robot to scan complex panels, while 3D structured‑light sensors capture full surfaces in motion. The result is faster, consistent inspection, verified feature placement, earlier defect detection, and traceable results that reduce scrap and rework.

Workers in a factory inspect large metal car parts on a conveyor system.

Automate stamping inspection with 2D and 3D vision to detect splits, verify features, and keep automotive body panel production moving

Zebra GTX Smart Camera Photography Website Automotive Stamped Panel Inspection 16x9 3600

Automate stamped part inspection

Iris GTX smart cameras inspect panels immediately after the press. The system targets high‑risk zones, such as die‑cut edges, tight bends, and mounting holes, using high‑resolution 2D imaging to detect splits, burrs, surface damage, and out‑of‑position features. Deployed on fixed stations for full‑width coverage, GTX delivers cycle‑time‑matched inspection and consistent results that prevent downstream rework.

3S80 Photography Website Video Inspection in Motion 16x9 3600

Expand to full-surface 3D inspection

Using parallel structured light, 3S Series 3D sensors scan complete body panels on conveyors or robot fixtures in motion. The sensors capture dense topography at production speed, making small dents, waviness, and edge splits stand out even when parts move or vibrate. Results merge with 2D checks from Iris GTX smart cameras, creating a single pass/fail judgment with unified rules and thresholds. This delivers consistent measurement across press stages, simpler changeovers, and fewer false rejects.

Aurora Design Assistant Photography Website Metrology 16x9 3600

Guide robots and close the quality loop

Aurora Design Assistant consolidates inspection logic across 2D and 3D and drives vision‑guided robotics. It adapts to panel variation in real time, coordinates robot moves, and automatically confirms results before release. A single decision engine combines inputs from Iris GTX smart cameras and 3S Series 3D sensors. Images and feature measurements are timestamped for traceability, and results are reported to the Manufacturing Execution System (MES) or programmable logic controller (PLC) to trigger rework or scrap processes. 

Talk to a Partner

Need more information on what solution is right for your needs? A partner can help.

Talk to Sales

Connect with our pre-sales team to get more information about our products, solutions and how to purchase.

Select Your Location: